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Completed Lecture Evaluations
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We take the evaluation of our lectures, exercises, and labs very serious and we publish - as you can see below - all our evaluation results. Thus, we really appreciate if you take the time and fill out the evaluation forms that are distributed within our lectures. Thank you to those of you who already participated in one of our evaluations. Gerhard Schmidt |
Adaptive Filters
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Details | Date of the evaluation | Average mark of the lecture | Average mark of the exercise | Number of votings | |||||
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Summer term 2021 | 1.3 | 1.2 | 15 | ||||||
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Summer term 2020 | 1.5 | 1.2 | 14 | ||||||
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Summer term 2019 | 1.7 | 2.3 | 14 | ||||||
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Summer term 2017 | 1.5 | 1.7 | 13 | ||||||
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Summer term 2016 | 1.7 | 1.5 | 9 | ||||||
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Summer term 2015 | 1.9 | 2.0 | 4 | ||||||
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Summer term 2013 | 1.7 | 1.6 | 5 | ||||||
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Summer term 2012 | 1.4 | 2.1 | 9 | ||||||
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Summer term 2011 | 1.4 | 1.7 | 2 |
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The blue line shows the average mark of the lecture, the red line the one of the exercise. Corresponding links:
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Advanced Digital Signal Processing
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Details | Date of the evaluation | Average mark of the lecture | Average mark of the exercise | Number of votings | |||||
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Winter term 2020/2021 | 1.7 | 1.9 | 12 | ||||||
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Winter term 2019/2020 | 1.2 | 1.2 | 5 | ||||||
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Winter term 2018/2019 | 1.3 | 1.9 | 9 | ||||||
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Winter term 2017/2018 | 1.6 | 1.9 | 14 | ||||||
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Winter term 2016/2017 | 1.3 | 1.4 | 1 | ||||||
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Winter term 2015/2016 | 1.3 | 1.4 | 6 | ||||||
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Winter term 2014/2015 | 1.5 | 2.3 | 4 | ||||||
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Winter term 2013/2014 | 2.1 | 2.2 | 8 | ||||||
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Winter term 2012/2013 | 2.0 | 2.4 | 5 | ||||||
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Winter term 2011/2012 | 2.2 | 3.3 | 3 | ||||||
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Winter term 2010/2011 | 1.3 | 1.9 | 2 |
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The blue line shows the average mark of the lecture, the red line the one of the exercise. Corresponding links:
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Digital Signal Processing
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Details | Date of the evaluation | Average mark of the lecture | Average mark of the exercise | Number of votings | |||||
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Summer term 2021 | 1.3 | 1.7 | 7 | ||||||
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Summer term 2020 | 1.7 | 1.6 | 9 | ||||||
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Summer term 2019 | 1.7 | 1.6 | 5 | ||||||
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Summer term 2017 | 1.6 | 1.2 | 5 | ||||||
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Summer term 2016 | 1.3 | 1.7 | 3 | ||||||
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Summer term 2015 | 1.4 | 2.0 | 2 | ||||||
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Summer term 2014 | 1.6 | 2.0 | 7 | ||||||
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Summer term 2013 | 1.7 | 1.9 | 14 | ||||||
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Summer term 2012 | 1.7 | 1.6 | 5 | ||||||
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Summer term 2011 | 1.7 | 2.1 | 4 |
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The blue line shows the average mark of the lecture, the red line the one of the exercise. Corresponding links:
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Pattern Recognition and Machine Learning
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Details | Date of the evaluation | Average mark of the lecture | Average mark of the exercise | Number of votings | |||||
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Winter term 2020/2021 | 1.8 | 1.9 | 16 | ||||||
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Winter term 2019/2020 | 1.7 | 2.1 | 9 | ||||||
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Winter term 2018/2019 | 1.5 | 2.1 | 10 | ||||||
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Winter term 2017/2018 | 1.6 | 1.7 | 16 | ||||||
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Winter term 2016/2017 | 1.6 | 1.8 | 11 | ||||||
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Winter term 2015/2016 | 1.5 | 2.1 | 5 | ||||||
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Winter term 2014/2015 | 1.4 | 1.4 | 8 | ||||||
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Winter term 2013/2014 | 1.6 | 1.8 | 5 | ||||||
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Winter term 2012/2013 | 1.8 | 1.8 | 5 | ||||||
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Winter term 2011/2012 | 1.5 | 1.9 | 4 | ||||||
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Winter term 2010/2011 | 1.7 | 2.1 | 3 |
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The blue line shows the average mark of the lecture, the red line the one of the exercise. Corresponding links:
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Signals and Systems I
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Details | Date of the evaluation | Average mark of the lecture | Average mark of the exercise | Number of votings | |||||
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Summer term 2021 | 1.5 | 1.6 | 15 | ||||||
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Summer term 2020 | 1.9 | 2.1 | 14 | ||||||
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Summer term 2019 | 1.8 | 1.9 | 26 | ||||||
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Summer term 2017 | 2.0 | 2.0 | 32 | ||||||
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Summer term 2016 | 1.6 | 1.8 | 20 | ||||||
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Summer term 2015 | 1.4 | 1.5 | 11 | ||||||
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Summer term 2014 | 1.4 | 1.5 | 14 | ||||||
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Summer term 2013 | 1.3 | 1.3 | 26 | ||||||
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Summer term 2012 | 1.9 | 1.9 | 21 | ||||||
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Summer term 2011 | 2.2 | 1.8 | 18 |
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The blue line shows the average mark of the lecture, the red line the one of the exercise. Corresponding links:
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Signals and Systems II
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Details | Date of the evaluation | Average mark of the lecture | Average mark of the exercise | Number of votings | |||||
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Winter term 2020/2021 | 1.3 | 1.9 | 16 | ||||||
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Winter term 2019/2020 | 2.1 | 1.8 | 25 | ||||||
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Winter term 2018/2019 | 2.3 | 2.2 | 25 | ||||||
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Winter term 2017/2018 | 2.0 | 1.9 | 28 | ||||||
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Winter term 2016/2017 | 1.8 | 2.1 | 16 | ||||||
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Winter term 2015/2016 | 1.4 | 1.6 | 20 | ||||||
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Winter term 2014/2015 | 1.8 | 1.9 | 10 | ||||||
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Winter term 2013/2014 | 1.5 | 1.4 | 26 | ||||||
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Winter term 2012/2013 | 1.3 | 1.3 | 26 | ||||||
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Winter term 2011/2012 | 2.2 | 1.7 | 8 | ||||||
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Winter term 2010/2011 | 2.1 | 1.7 | 14 |
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The blue line shows the average mark of the lecture, the red line the one of the exercise. Corresponding links:
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Our university awards excellent achievements of female students in mathematics, IT, natural sciences and technology (known as the MINT subjects). This year Patricia Fuchs was awarded for her Bachelor thesis on the development and implementation of a magnetic heart axis estimation. We congratulate Patricia Fuchs to the EmpowerMINT award.The thesis was supported with technical and medical expertise. In order to be able to compare the magnetically achieved results with conventional examinations (based on ECG), test persons were examined by Dr. Daniel Körbächer in his practice in Mönkeberg. The same persons were then magnetically measured at the Faculty of Engineering. Through this new method, the heart position of patients can be estmated more accurately and also in 3D (so far, this analysis is carried out only in the body level, i.e. in 2D). Ms. Fuchs was also supported by Prof. Frey, Head of Cardiology at the Heidelberg Hospital (and also a member of the SFB 1261). Erik Engelhardt and Gerhard Schmidt supervised the work on behalf of the Faculty of Engineering.
The picture shows Patrica Fuchs (center) and all supervisors (Daniel Körbächer, Erik Engelhardt, Gerhard Schmidt, Norbert Frey, from left).
